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首页> 外文期刊>Journal of the royal statistical society >General classes of multiple binary regression models in dose finding problems for combination therapies
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General classes of multiple binary regression models in dose finding problems for combination therapies

机译:组合疗法中剂量查找问题中的多元二元回归模型的一般类别

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摘要

The dose finding problem for single compounds has been generalized to combination therapies and several binary regression models have been proposed in the literature. We propose general tools to evaluate them, in particular dose-free parameterizations of the risks of toxicity and risk ratio functions and plots. New classes of risk functions are also proposed. They generate low dimensional parametric risk functions which are made available to the researcher and commented on for their clinical relevance.
机译:单一化合物的剂量寻找问题已经推广到组合疗法中,文献中已经提出了几种二元回归模型。我们提出了评估它们的通用工具,尤其是毒性风险以及风险比函数和图的无剂量参数化。还提出了新的风险功能类别。它们生成低维参数风险函数,可供研究人员使用,并对其临床意义进行评论。

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